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Transport - 14.02.2023 
Calculate collision risks: The standing bearing as a basis
Prof. Darius Burschka learned it from sailors Calculate impending collisions of flying drones or cars in traffic in advance and thus avoid them: That is the goal of Darius Burschka. To do this, the professor at the Technical University of Munich (TUM) tracks every point of an image taken by the cameras of a drone in the air or a vehicle on the road.
Transport - 30.09.2022 
Latest Issue on Smart Mobility
TUM Science Magazine ,,Faszination Forschung" Mobility and goods transport have to become more climate-friendly, low-noise, low-emitting, intelligent and connected in the future. In addition, it is vital that we embed new forms of mobility into existing infrastructures and integrate them into highly livable urban design.
Transport - Computer Science - 08.09.2022 
Bird’s’eye view improves safety of autonomous driving
The expectations for autonomous driving are clear: "Cars have to travel safely not only at low speeds, but also in fast-moving traffic," says Jörg Schrepfer, the Head of Driving Advanced Research Germany at Valeo. For example, when objects fall off a truck, the "egocentric" perspective of a car will often be unable to detect the hazardous debris in time.
Transport - 03.08.2022
Transport - 21.07.2022 
More people opt for bus and rail travel
Digital data on mobility patterns in the Munich region The introduction of the nine-euro ticket led to changes in the mobility behavior of many people in the Munich region. A study conducted at the Technical University of Munich (TUM) shows that more than 20 percent of participants had not previously used public transportation and now take buses and trains.
Transport - 23.05.2022 
Changes in mobility behavior
A new study by the Technical University of Munich (TUM) will focus the future of mobility in the greater Munich metropolitan area. All residents of the city and the surrounding areas will have the opportunity to participate directly and help build an important basis for future political decisions. Online surveys conducted from June to December 2022 will capture residents' behavior relating to mobility, energy use and consumption.
Transport - 30.03.2021 
New early warning system for self-driving cars
AI recognizes potentially critical traffic situations seven seconds in advance A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group.
Transport - 24.02.2021 
Rotor head full fairing makes the RACER fly faster
Aerodynamic shape optimization for helicopter rotor heads Helicopters are to become faster, greener and quieter. An international team led by Airbus Helicopters (AH) is working on the technology to achieve these goals with the RACER demonstrator. Scientists from the Technical University of Munich (TUM) have designed an aerodynamically shape-optimized rotor head full fairing for the innovative RACER rotorcraft.
Life Sciences - Transport - 23.02.2021 
A memory without a brain
How a single cell slime mold makes smart decisions without a central nervous system Having a memory of past events enables us to take smarter decisions about the future. Researchers at the Max-Planck Institute for Dynamics and Self-Organization (MPI-DS) and the Technical University of Munich (TUM) have now identified how the slime mold Physarum polycephalum saves memories - although it has no nervous system.
Transport - 21.01.2021 
Digital twin for autonomous driving
Autonomous driving will come about. But how do you make it safe for each traffic situation, what transportation infrastructure will be required, and what will be the impact of future traffic models? Under the leadership of Audi AG, the SAVeNoW consortium is running a simulation on these questions using a digital twin of the urban traffic of Ingolstadt as an example.
Transport - Environment - 27.12.2020 
ARAS test aircraft successfully completes maiden flight
Students of Aerospace Engineering at the University of Stuttgart have developed and built the unmanned testing platform Aircraft for Research and Applied Science (ARAS). In the process, they designed the components for it to be able to withstand high loads. After the mechanical and electronic integration was finished, the "UAStudents Gruppe" (a compound made up of Unmanned Aerial System, another word for drone, and students) carried out extensive ground testing before the aircraft successfully took off for the first time in October.
Computer Science - Transport - 15.09.2020 
The accident preventers
Security software for autonomous vehicles Before autonomous vehicles participate in road traffic, they must demonstrate conclusively that they do not pose a danger to others. New software developed at the Technical University of Munich (TUM) prevents accidents by predicting different variants of a traffic situation every millisecond.
Transport - Innovation - 19.11.2019 
Super-efficient wing takes off
Aeroelastic wing's first flight at Special Airport Oberpfaffenhofen Super-efficient wing takes off In a joint effort by the Technical University of Munich (TUM) and the German Aerospace Center (DLR), researchers have successfully developed new technologies for lighter aircraft wings that are still extremely stable.
Transport - 04.07.2019 
"Eyes" for the autopilot
At large airports the Instrument Landing System (ILS) makes it possible for commercial aircraft to land automatically with great precision. Antennas send radio signals to the autopilot to make sure it navigates to the runway safely. Procedures are also currently being developed that will allow automatic landing based on satellite navigation.
Life Sciences - Transport - 01.04.2019 
Traffic Jam in the Cell: How Are Proteins Assigned to Specific Transporters?
Heidelberg researchers comprehensively identify the composition of transport vesicles for the first time A fundamental cellular mechanism ensures that proteins are transported to the places they are needed in the cells. So-called vesicles are responsible for that transport. Determining their composition has been difficult up to now, not least because of their short life span.
Transport
Results 1 - 15 of 15.
Prof. Darius Burschka learned it from sailors Calculate impending collisions of flying drones or cars in traffic in advance and thus avoid them: That is the goal of Darius Burschka. To do this, the professor at the Technical University of Munich (TUM) tracks every point of an image taken by the cameras of a drone in the air or a vehicle on the road.
TUM Science Magazine ,,Faszination Forschung" Mobility and goods transport have to become more climate-friendly, low-noise, low-emitting, intelligent and connected in the future. In addition, it is vital that we embed new forms of mobility into existing infrastructures and integrate them into highly livable urban design.
The expectations for autonomous driving are clear: "Cars have to travel safely not only at low speeds, but also in fast-moving traffic," says Jörg Schrepfer, the Head of Driving Advanced Research Germany at Valeo. For example, when objects fall off a truck, the "egocentric" perspective of a car will often be unable to detect the hazardous debris in time.
New study on expectations and reality of safe overtaking maneuvers in bicycle traffic
Subjective impressions of safety differs according to the type of road and speed limit Dangerous situations can develop when cyclists are overtaken by cars. How threatened or safe cyclists feel during an overtaking maneuver depends on the type of road. They expect to be safer on roads with a speed limit of 30 kilometers per hour (kph), as well as on living streets, bike streets, and roads with cycle lanes.
Subjective impressions of safety differs according to the type of road and speed limit Dangerous situations can develop when cyclists are overtaken by cars. How threatened or safe cyclists feel during an overtaking maneuver depends on the type of road. They expect to be safer on roads with a speed limit of 30 kilometers per hour (kph), as well as on living streets, bike streets, and roads with cycle lanes.
Digital data on mobility patterns in the Munich region The introduction of the nine-euro ticket led to changes in the mobility behavior of many people in the Munich region. A study conducted at the Technical University of Munich (TUM) shows that more than 20 percent of participants had not previously used public transportation and now take buses and trains.
A new study by the Technical University of Munich (TUM) will focus the future of mobility in the greater Munich metropolitan area. All residents of the city and the surrounding areas will have the opportunity to participate directly and help build an important basis for future political decisions. Online surveys conducted from June to December 2022 will capture residents' behavior relating to mobility, energy use and consumption.
AI recognizes potentially critical traffic situations seven seconds in advance A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for vehicles that uses artificial intelligence to learn from thousands of real traffic situations. A study of the system was carried out in cooperation with the BMW Group.
Aerodynamic shape optimization for helicopter rotor heads Helicopters are to become faster, greener and quieter. An international team led by Airbus Helicopters (AH) is working on the technology to achieve these goals with the RACER demonstrator. Scientists from the Technical University of Munich (TUM) have designed an aerodynamically shape-optimized rotor head full fairing for the innovative RACER rotorcraft.
How a single cell slime mold makes smart decisions without a central nervous system Having a memory of past events enables us to take smarter decisions about the future. Researchers at the Max-Planck Institute for Dynamics and Self-Organization (MPI-DS) and the Technical University of Munich (TUM) have now identified how the slime mold Physarum polycephalum saves memories - although it has no nervous system.
Autonomous driving will come about. But how do you make it safe for each traffic situation, what transportation infrastructure will be required, and what will be the impact of future traffic models? Under the leadership of Audi AG, the SAVeNoW consortium is running a simulation on these questions using a digital twin of the urban traffic of Ingolstadt as an example.
Students of Aerospace Engineering at the University of Stuttgart have developed and built the unmanned testing platform Aircraft for Research and Applied Science (ARAS). In the process, they designed the components for it to be able to withstand high loads. After the mechanical and electronic integration was finished, the "UAStudents Gruppe" (a compound made up of Unmanned Aerial System, another word for drone, and students) carried out extensive ground testing before the aircraft successfully took off for the first time in October.
Security software for autonomous vehicles Before autonomous vehicles participate in road traffic, they must demonstrate conclusively that they do not pose a danger to others. New software developed at the Technical University of Munich (TUM) prevents accidents by predicting different variants of a traffic situation every millisecond.
Aeroelastic wing's first flight at Special Airport Oberpfaffenhofen Super-efficient wing takes off In a joint effort by the Technical University of Munich (TUM) and the German Aerospace Center (DLR), researchers have successfully developed new technologies for lighter aircraft wings that are still extremely stable.
At large airports the Instrument Landing System (ILS) makes it possible for commercial aircraft to land automatically with great precision. Antennas send radio signals to the autopilot to make sure it navigates to the runway safely. Procedures are also currently being developed that will allow automatic landing based on satellite navigation.
Heidelberg researchers comprehensively identify the composition of transport vesicles for the first time A fundamental cellular mechanism ensures that proteins are transported to the places they are needed in the cells. So-called vesicles are responsible for that transport. Determining their composition has been difficult up to now, not least because of their short life span.
